Zobrazeno 1 - 10
of 2 666
pro vyhledávání: '"Scheduling Algorithms"'
Publikováno v:
Complex System Modeling and Simulation, Vol 4, Iss 1, Pp 50-66 (2024)
The research on complex workshop scheduling methods has important academic significance and has wide applications in industrial manufacturing. Aiming at the job shop scheduling problem, a hybrid algorithm based on comprehensive search mechanisms (HAC
Externí odkaz:
https://doaj.org/article/c6ce9cf348bd461ea64c49eb14d010af
Publikováno v:
IEEE Access, Vol 12, Pp 133110-133124 (2024)
The rise of user-centric design demands ubiquitous access to infrastructure and applications, facilitated by the Edge-Cloud network and microservices. However, efficiently managing resource allocation while orchestrating microservice placement in suc
Externí odkaz:
https://doaj.org/article/910bc5c986904e19ada2ffe041150ec3
Autor:
Shruti Jadon, Pradyuman Kavedi Kannan, Urmil Kalaria, K. R. Varsha, Karthik Gupta, Prasad B. Honnavalli
Publikováno v:
IEEE Access, Vol 12, Pp 53373-53395 (2024)
Real-time systems are becoming pervasive with the growing global connectivity and rising consumer demands. The need for real-time processing has become a crucial part of many business applications worldwide. A key factor that determines the time take
Externí odkaz:
https://doaj.org/article/beaacef47a684872b20c1236a4c5c91d
Autor:
Mohd Rozar, Norlinda, Sidik, Mohd Hazeem, Razik, Muhammad Ashlyzan, Ahmad Kamaruddin, Saadi, Rozar, Mohd Kholil Ashari Mohd, Usman, Indrianawati, Alown, Bandar Ersan
Publikováno v:
Maritime Business Review, 2022, Vol. 8, Issue 3, pp. 194-208.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MABR-07-2020-0040
Autor:
Soudabeh Hedayati, Neda Maleki, Tobias Olsson, Fredrik Ahlgren, Mahdi Seyednezhad, Kamal Berahmand
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-30 (2023)
Abstract Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process that data. MapReduce is a parallel computing framework for proces
Externí odkaz:
https://doaj.org/article/8b31ac5c0d3a4107b480cc9184bd952d
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5690 (2024)
Efficient multiprocessor scheduling is pivotal in optimizing the performance of parallel computing systems. This paper leverages the power of Petri nets and the tool GPenSIM to model and simulate a variety of multiprocessor scheduling algorithms (the
Externí odkaz:
https://doaj.org/article/906a616134784fe384b26c50352505b4
Autor:
Khwansiri Ninpan, Shuzhang Huang, Francesco Vitillo, Mohamad Ali Assaad, Lies Benmiloud Bechet, Robert Plana
Publikováno v:
Algorithms, Vol 17, Iss 6, p 230 (2024)
This paper proposes a heuristic approach for managing complex construction projects. The tool incorporates Primavera P6 EPPM and Synchro 4D, enabling proactive clash detection and resolution of spatial conflicts during concurrent tasks. Additionally,
Externí odkaz:
https://doaj.org/article/3b543f651baa40a4848bc1423820e7f3
Publikováno v:
Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 17, Iss 1, Pp 43-51 (2023)
Real-time systems play a major role in our today's life. They are used in essential control systems that rely on timely response and determined outcomes to work. The main real-time scheduling algorithms for both soft and hard real-time system is pres
Externí odkaz:
https://doaj.org/article/33569483a43b4fb5be1e8739d82b98d3
Publikováno v:
Sensors, Vol 24, Iss 6, p 1928 (2024)
The multi-objective optimization (MOO) problem in wireless sensor networks (WSNs) is concerned with optimizing the operation of the WSN across three dimensions: coverage, connectivity, and lifetime. Most works in the literature address only one or tw
Externí odkaz:
https://doaj.org/article/bf5a3e632b454c8185fd18e64e48d3e3
Autor:
Oleg V. Doronin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 4, Pp 734-741 (2022)
It is difficult to imagine modern information systems without the use of multithreading. The use of multithreading can both improve the performance of the system as in whole so as slow down the execution of multithreaded applications due to the occ
Externí odkaz:
https://doaj.org/article/6bcf4f9e9b084d6b963ad39316db0668